Promoting safe and inclusive water and sanitation services for students with physical disabilities in primary schools: a concept mapping study in Ghana
Bibliographic record
Abstract
Abstract Improving water, sanitation, and hygiene (WASH) services in schools is crucial to providing inclusive environments for all children to thrive. Particularly for children with disabilities, the school environment can serve as a barrier to their access to and use of WASH facilities. This paper examines strategies and programs needed to promote safe and inclusive WASH services for students with physical disabilities in primary schools in Ghana. We recruited 22 stakeholders from the Upper West Region of Ghana to complete an online concept mapping exercise. Participants identified eight themes for promoting safe and inclusive access to WASH services for students with physical disabilities. These themes included ‘building special schools,’ ‘guidance services,’ ‘ensuring non-discrimination and fair treatment,’ ‘additional programs for PWDs,’ ‘local government interventions,’ ‘public sensitization,’ ‘teacher training,’ and ‘supervision.’ These findings can assist stakeholders in identifying strategies and prioritising programs in the short run to improve WASH among students with physical disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".